numpy.random.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size
HermiteE.degree()
MaskedArray.cumsum(axis=None, dtype=None, out=None)
Legendre.integ(m=1, k=[], lbnd=None)
numpy.msort(a)
numpy.testing.assert_array_max_ulp(a, b, maxulp=1, dtype=None)
numpy.tril(m, k=0)
classmethod Chebyshev.basis(deg, domain=None, window=None)
numpy.fft.ifftn(a, s=None, axes=None, norm=None)
numpy.diag_indices_from(arr)
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